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AI / Machine LearningRemote

Senior Agentic AI Developer

Allianz Services - Company

India, ๐Ÿ‡ฎ๐Ÿ‡ณ IndiaFull-time - Senior (4-7 years)0 applicantsCloses Jun 21, 2026

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Job description

Job details

  • Location: India
  • Work mode: Remote
  • Employment type: Full-time (Not an internship)
  • Salary: Salary details are available in the employer description.

Role overview

Allianz Services is hiring a Senior Agentic AI Developer to architect and deploy multi-agent AI systems in Pune or Trivandrum, India. This Remote position requires 4.5 to 11 years of experience building production-grade agentic workflows with Python, LangGraph, CrewAI, and LLM orchestration frameworks. You will design intelligent agent systems that leverage retrieval, tool integration, and memory to solve complex business problems at scale.

Job details

Location: Pune or Trivandrum, India
Work mode: Remote
Employment type: Full-time
Experience: 4.5โ€“11 years in AI/ML engineering
Salary: Details available in employer description

This is a senior-level, full-time role focused on cutting-edge agentic AI development. You will work with cloud infrastructure on AWS or Azure, containerize solutions with Docker and Kubernetes, and collaborate with cross-functional teams to deliver scalable AI products.

Responsibilities

  • Architect and build multi-agent systems using LangGraph, CrewAI, and AutoGen frameworks
  • Design and optimize advanced prompt engineering strategies for LLM orchestration
  • Integrate retrieval mechanisms, tool connections, and memory into agentic workflows
  • Deploy and scale AI solutions on AWS or Azure using Docker and Kubernetes
  • Collaborate with product and engineering teams to deliver production-grade AI systems
  • Maintain and improve existing agentic AI pipelines and infrastructure

Requirements

  • 4.5 to 11 years of experience in AI/ML or software engineering
  • Strong proficiency in Python and FastAPI for backend development
  • Hands-on experience with LangGraph, LangChain, CrewAI, or similar agentic frameworks
  • Solid understanding of LLM orchestration, prompt engineering, and retrieval systems
  • Experience deploying applications on AWS or Azure with Docker and Kubernetes
  • Excellent problem-solving skills and ability to work independently in a remote setup

Benefits

  • Fully remote work environment
  • Opportunity to work on cutting-edge AI technologies
  • Collaborative and innovative team culture
  • Professional development and learning opportunities

Keywords

PythonLangGraphCrewAIAutoGenLLMFastAPIAWSAzureAgentic AIMulti-agent systems